Hitachi VenturesHow AI is Shaping the Future of Design, Simulation and OptimizationA joint post by Hitachi Ventures (Galina Sagan, Vamsi Patti), Partech (Nikhil Punwaney) and DTCP Growth (Sören Fehrmann, Johannes…15h ago
Hossein GhorbanfekrWhy You Should Learn JAX: A Molecular Dynamics ShowcaseJAX provides a suite of features in numerical Python including Just-In-Time compilation, automatic differentiation, GPU computing, and…Jun 182
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Colby T. Ford, Ph.D.Running AlphaFold3 At-Scale on High Performance Computing ClustersHow to set up AF3 on your HPC cluster and run multiple experiments at once.5d ago5d ago
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Hitachi VenturesHow AI is Shaping the Future of Design, Simulation and OptimizationA joint post by Hitachi Ventures (Galina Sagan, Vamsi Patti), Partech (Nikhil Punwaney) and DTCP Growth (Sören Fehrmann, Johannes…15h ago
Hossein GhorbanfekrWhy You Should Learn JAX: A Molecular Dynamics ShowcaseJAX provides a suite of features in numerical Python including Just-In-Time compilation, automatic differentiation, GPU computing, and…Jun 182
InSHI LabsbyAli HassaniDistributed GEMMA novel CUTLASS-based implementation of Tensor Parallelism for NVLink-enabled systemsDec 2
Colby T. Ford, Ph.D.Running AlphaFold3 At-Scale on High Performance Computing ClustersHow to set up AF3 on your HPC cluster and run multiple experiments at once.5d ago
Hossein GhorbanfekrBuilding a Slurm HPC Cluster with Raspberry Pi’s: Step-by-Step GuideIn this post, I’ll share my attempt to build a Slurm High-Performance Computing (HPC) cluster using Raspberry Pi’s. I started off using…May 191
Matteo RavasiPython is slow? Solving large-scale inverse problem with MPI-accelerated multi-GPUsBoost your inverse problems with PyLops and its latest MPI-accelerated multi-GPUs featuresNov 30
InHMx LabsbyHamzaHeterogenous or Homogenous HPC?For the last twenty years if you had stuck your head in the sand and decided to just run everything on Intel x86 you’d have been fine. I…5d ago
InTowards Data SciencebyDonal ByrneSuper Charge Your ML Systems In 4 Simple StepsRepeatedly, for a long time…Oct 27, 20233
